Junior Software Engineer, AI Agent Platform

Posted 19 hours ago

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop real-time voice AI functionalities for emergency response procedures.

• Design and manage LLM-powered systems that assist human 911 telecommunicators.

• Take ownership of features across backend services, AI pipelines, frontend interfaces, and internal tools.

• Engage in low-latency audio processing, streaming systems, telephony integrations, and human-in-the-loop AI workflows.

• Integrate speech models, LLMs, and cutting-edge AI technologies into production environments.

• Establish best practices for testing, code review, observability, and security.

• Enhance evaluation, testing, and observability for AI-assisted systems.

• Participate in on-call duties, including supported shadow rotations.

• Engage in blameless post-incident reviews.

• Pose questions, investigate systems, and provide new perspectives.

• Collaborate with seasoned engineers across real-time AI pipelines, telephony, backend infrastructure, and product interfaces.

• Influence architectural decisions, develop core product features, and shape AI-agent development methodologies.


⛳️ Requirements

• A Bachelor’s degree.

• Experience with LLMs, AI agents, AI pipelines, RAG systems, evaluations, or prompt testing frameworks.

• Strong foundation in engineering principles, quick learning, curiosity, and problem-solving skills.

• Coursework, internships, research, or personal projects are considered relevant experience.

• Relevant experience may include speech-to-text, text-to-speech, voice activity detection, endpointing, interruption management, noise filtering, diarization, or audio streaming.

• Relevant exposure to telephony and voice systems, including PSTN, SIP trunking, PBX, and call routing.

• Relevant familiarity with WebRTC, WebSockets, RTP/SRTP, media streaming, or low-latency audio transport.

• Proficiency in programming languages such as Elixir, Go, Python, Rust, or similar.

• Acquainted with PostgreSQL or relational data modeling.

• Experience with AWS, Azure, or GCP cloud platforms.

• Familiarity with Docker, Kubernetes, or similar deployment environments.

• Less than 10% travel required.

• Must be legally authorized to work in the specified Canadian location.


🏝️ Benefits

• Referral Payment Plan.

• Inclusive and accessible recruitment process.

• Reasonable accommodation support for candidates with disabilities or health conditions.

• Commitment to equal opportunity employment.

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